REDWOOD SHORES, CA--(Marketwired - Jun 19, 2013) - SiSense , the Big Data Analytics Company, today announced that it is introducing the first In-Chip Analytics solution in the Cloud. The SiSense business analytics software, powered by Rackspace ® Hosting (
With SiSense Prism 10X, companies of all sizes are able to run Terabyte-range analytics workloads in the Cloud without having to worry about setting up complex clusters, acquiring or maintaining expensive hardware. The solution provides enterprise-grade service, unmatched analytics power in the Cloud and reduces the cost of Big Data Analytics to as low as $1 per Terabyte per hour.
"The current model for Big Data Analytics is broken. It is prohibitively expensive and complicated," said SiSense CEO Amit Bendov. "By letting SiSense and Rackspace do the heavy lifting, businesses of all sizes can farm out the hassles and focus on achieving business results. We are evening the playing field by putting enterprise-grade services and software into the hands of businesses that would otherwise be shut out of the game."
SiSense Prism , with its unique In-Chip technology, turns commodity machines into "data monsters." The solution can run terabytes of data on a single Rackspace node. By harnessing this power, customers are able to achieve high levels of performance with minimal hardware requirements, thus overcoming obstacles normally associated with performing analytics in the Cloud.
"Big Data Analytics are critically important to our customers but there are often major hurdles to scaling public cloud-based big data deployments," said John Engates, CTO of Rackspace. "The Rackspace Hybrid Cloud is the perfect platform to power SiSense's revolutionary In-Chip Analytics and allows for rapid deployment and seamless scaling of the underlying architecture without breaking the bank. The ability to tailor the platform for specific workloads makes all the difference, especially with Big Data."
Running SiSense's analytics solution on a Rackspace server allows non-technical users to analyze 100 times more data at 10 times the speed of traditional in-memory solutions and can provide for a restoration of data within one hour if there is a server outage.
Additional advantages of SiSense's business analytics software include:
- No need to purchase and maintain expensive servers on premise
- Quicker deployment than on-premise through the Rackspace Hybrid Cloud
- Private Cloud resource allocation (no multi-tenanting)
- Fast upload of data into the Cloud (provided by Rackspace)
- Enterprise-grade support (1 hour guarantee for recovery)
SiSense was recently recognized as one of the "10 Most Innovative IT Ventures" at Under the Radar and named a "hot" big data company to watch by CIO and Information Management. Prism won the audience choice award at Strata. The company has attracted global brands like Target and Merck, as well as hot startups like Wix and WeFi.
SiSense's In-Chip Analytics technology is optimized around modern CPU architecture. While other technologies solely rely on RAM or on Disk, the analytics solution from SiSense uses the CPU, RAM and Disk, and decides in real-time how to best use machine capacity to its fullest to store, compress and access more data faster.
To learn more about SiSense's Prism 10X powered by Rackspace, click here
About SiSense SiSense is democratizing Big Data Analytics by pioneering a new approach that enables organizations of all sizes to make sense of their data. SiSense Prism™ -- powered by Elasticube™ technology -- delivers unmatched performance, agility & value. With customers in 49 countries, including global brands like Target, ESPN, Merck and NASA, SiSense was recently designated a company to watch by Information Management, its solution won the "Audience Choice" award at the O'Reilly Strata conference, was named by CRN a "Hot Product to See at Dreamforce," and included in the "Top 10 Things to See at Hadoop World."
Download a free trial version of the software at http://www.sisense.com/Prism-free-trial
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Media contact Leron Kornreich Email Contact 415.937.1724 Media kit: http://goo.gl/MpDGV
